# Probas - Python Dependencies
# Install: pip install -r requirements.txt
#
# Note: 20 notebooks are C# (.NET Interactive) using Infer.NET.
# Python notebooks: Pyro_RSA_Hyperbole, PyMC-HMM-Trading-Alpha,
#   and PyMC/PyMC-* series (20 notebooks),
#   plus DoWhy-1-Estimand-et-Intervention (DoWhy).

# === Pyro (RSA Hyperbole) ===
pyro-ppl>=1.8                # Probabilistic programming (Pyro)
torch>=2.0                   # PyTorch (Pyro backend)

# === PyMC (PyMC/ series + HMM Trading Alpha) ===
# PyMC 6 et ArviZ 1.x exigent Python >= 3.12 : sous 3.10/3.11, pip se replie sur
# ArviZ 0.x, dont l'API (plot_posterior, hdi_prob) n'est plus celle des notebooks.
pymc>=6.0                    # Probabilistic programming (PyMC)
arviz>=1.0                   # Bayesian diagnostics & visualization (API 1.x : plot_dist, ci_prob)

# === Scientific computing ===
numpy>=1.24                  # Core numerics
scipy>=1.10                  # Statistical functions, optimization
pandas>=2.0                  # Data handling
matplotlib>=3.7              # Visualization

# === PyMC-HMM-Trading-Alpha specific ===
yfinance>=0.2                # Yahoo Finance data download
hmmlearn>=0.3                # Hidden Markov Models
scikit-learn>=1.2            # StandardScaler (HMM), LatentDirichletAllocation (PyMC-9)

# === Percolation application (networkx) ===
networkx>=3.0              # Graph utilities

# === DoWhy (DoWhy-1-Estimand-et-Intervention) ===
dowhy>=0.12                  # Identification causale (estimand backdoor/frontdoor + refuters)